Triple
T14064786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Mennell |
E338438
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Mennell
Mennell is a surname most notably associated with Canadian actress Laura Mennell, known for her work in science fiction and drama television series.
|
E1077237
|
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: Mennell | Statement: [Laura Mennell, hasFamilyName, Mennell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mennell Context triple: [Laura Mennell, hasFamilyName, Mennell]
-
A.
Mannanan
Mannanan is a high-speed catamaran ferry operated by the Isle of Man Steam Packet Company on routes linking the Isle of Man with ports in the British Isles.
-
B.
Menen
Menen is a town in the Belgian province of West Flanders, located near the border with France.
-
C.
Mannering
Mannering is an English-language surname of British origin borne by various notable individuals across fields such as literature, politics, and sports.
-
D.
Manney
Manney is the family name of American stage and film actress Helen Westley.
-
E.
Mannam
Mannam is a musical composition by Mexican composer Javier Álvarez, known for his innovative use of contemporary techniques and often electroacoustic elements.
- 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: Mennell Triple: [Laura Mennell, hasFamilyName, Mennell]
Generated description
Mennell is a surname most notably associated with Canadian actress Laura Mennell, known for her work in science fiction and drama television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mennell Target entity description: Mennell is a surname most notably associated with Canadian actress Laura Mennell, known for her work in science fiction and drama television series.
-
A.
Mannanan
Mannanan is a high-speed catamaran ferry operated by the Isle of Man Steam Packet Company on routes linking the Isle of Man with ports in the British Isles.
-
B.
Menen
Menen is a town in the Belgian province of West Flanders, located near the border with France.
-
C.
Mannering
Mannering is an English-language surname of British origin borne by various notable individuals across fields such as literature, politics, and sports.
-
D.
Manney
Manney is the family name of American stage and film actress Helen Westley.
-
E.
Mannam
Mannam is a musical composition by Mexican composer Javier Álvarez, known for his innovative use of contemporary techniques and often electroacoustic elements.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5689c7f48190a47ca94eaa8a9ef9 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb669111081909ccd167f41571a00 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc17d16008190bfec11ba0c229aae |
completed | May 7, 2026, 4:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc1fe9bb0819098aa2655330569cb |
completed | May 7, 2026, 4:46 p.m. |
Created at: April 9, 2026, 10:21 p.m.