Triple
T5648391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Ingram |
E124439
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ingram
Ingram is a surname of English origin borne by various notable individuals across fields such as music, sports, and academia.
|
E536559
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ingram | Statement: [James Ingram, familyName, Ingram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingram Context triple: [James Ingram, familyName, Ingram]
-
A.
Blackwell
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
-
B.
Spiegel & Grau
Spiegel & Grau is an American publishing imprint known for releasing influential nonfiction and literary works, including high-profile memoirs and socially relevant titles.
-
C.
Faber
Faber is a retired English professor in Ray Bradbury’s dystopian novel "Fahrenheit 451" who secretly mentors the protagonist and represents the value of literature and critical thought in a censored society.
-
D.
Faber
Faber is a surname most notably associated with Sandra Faber, an influential American astronomer and cosmologist.
-
E.
Whiteread
Whiteread is the surname of Rachel Whiteread, a prominent British sculptor known for her large-scale casts of negative spaces in everyday architecture and objects.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ingram Triple: [James Ingram, familyName, Ingram]
Generated description
Ingram is a surname of English origin borne by various notable individuals across fields such as music, sports, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ingram Target entity description: Ingram is a surname of English origin borne by various notable individuals across fields such as music, sports, and academia.
-
A.
Blackwell
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
-
B.
Spiegel & Grau
Spiegel & Grau is an American publishing imprint known for releasing influential nonfiction and literary works, including high-profile memoirs and socially relevant titles.
-
C.
Faber
Faber is a retired English professor in Ray Bradbury’s dystopian novel "Fahrenheit 451" who secretly mentors the protagonist and represents the value of literature and critical thought in a censored society.
-
D.
Faber
Faber is a surname most notably associated with Sandra Faber, an influential American astronomer and cosmologist.
-
E.
Whiteread
Whiteread is the surname of Rachel Whiteread, a prominent British sculptor known for her large-scale casts of negative spaces in everyday architecture and objects.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d1534c8190ac4828e44300fb91 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d8cea4481908fccb8ed102b18a1 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04e8b548c81908adaf54bbe25af35 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f4c1e34819093e60870c87c8d99 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:42 p.m.