Triple
T1615395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gil Hodges |
E34705
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hodges
Hodges is a surname most famously associated with Gil Hodges, the American Major League Baseball first baseman and manager.
|
E182770
|
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: Hodges | Statement: [Gil Hodges, familyName, Hodges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hodges Context triple: [Gil Hodges, familyName, Hodges]
-
A.
Hicks
Hicks is a common English surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
B.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
C.
Hunte
The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
-
D.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
E.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
- 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: Hodges Triple: [Gil Hodges, familyName, Hodges]
Generated description
Hodges is a surname most famously associated with Gil Hodges, the American Major League Baseball first baseman and manager.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hodges Target entity description: Hodges is a surname most famously associated with Gil Hodges, the American Major League Baseball first baseman and manager.
-
A.
Hicks
Hicks is a common English surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
B.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
C.
Hunte
The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
-
D.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
E.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9099049e0819099763ecb09fb4f57 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51cd2e54819086924378792eb2e3 |
completed | March 8, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69ad5248af2881909755ae87b4cd0041 |
completed | March 8, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad52b3dcf081909e73fba891e985b2 |
completed | March 8, 2026, 10:43 a.m. |
Created at: March 4, 2026, 7:28 p.m.