Triple
T14912734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lori Trahan |
E371303
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Trahan
Trahan is a surname most notably associated with Lori Trahan, a U.S. politician serving in the House of Representatives.
|
E1127538
|
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: Trahan | Statement: [Lori Trahan, familyName, Trahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trahan Context triple: [Lori Trahan, familyName, Trahan]
-
A.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
B.
Minley
Minley is a village in Hampshire, England, known for its rural setting and proximity to military facilities such as Gibraltar Barracks.
-
C.
Tolan
Tolan is a surname most notably associated with American television producer, writer, and director Peter Tolan.
-
D.
Strahan
Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
-
E.
Mathison
Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
- 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: Trahan Triple: [Lori Trahan, familyName, Trahan]
Generated description
Trahan is a surname most notably associated with Lori Trahan, a U.S. politician serving in the House of Representatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trahan Target entity description: Trahan is a surname most notably associated with Lori Trahan, a U.S. politician serving in the House of Representatives.
-
A.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
B.
Minley
Minley is a village in Hampshire, England, known for its rural setting and proximity to military facilities such as Gibraltar Barracks.
-
C.
Tolan
Tolan is a surname most notably associated with American television producer, writer, and director Peter Tolan.
-
D.
Strahan
Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
-
E.
Mathison
Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61d75008190b6f9a1a38137836f |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bb366481909706d511f5ae1290 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe733a580c8190bc2f053188bb7145 |
completed | May 8, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe75ecce8c8190a879d8f908d9fb28 |
completed | May 8, 2026, 11:46 p.m. |
Created at: April 10, 2026, 2:27 a.m.