Triple
T2427563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Giroux |
E53566
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Giroux
Giroux is a French-origin surname borne by various notable individuals, including athletes, academics, and artists.
|
E266190
|
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: Giroux | Statement: [Claude Giroux, familyName, Giroux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giroux Context triple: [Claude Giroux, familyName, Giroux]
-
A.
Iger
Iger is the surname of Bob Iger, the longtime CEO and influential leader of The Walt Disney Company.
-
B.
Val Ferret
Val Ferret is a scenic alpine valley near Courmayeur in the Italian Alps, renowned for its hiking, skiing, and panoramic views of the Mont Blanc massif.
-
C.
Yann
Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
-
D.
Rothbart
Rothbart is the dark sorcerer and primary antagonist in the ballet "Swan Lake," responsible for cursing Odette and driving the central conflict of the story.
-
E.
Griffin
The Griffin is the mythical creature that serves as the official mascot and symbol of Reed College.
- 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: Giroux Triple: [Claude Giroux, familyName, Giroux]
Generated description
Giroux is a French-origin surname borne by various notable individuals, including athletes, academics, and artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giroux Target entity description: Giroux is a French-origin surname borne by various notable individuals, including athletes, academics, and artists.
-
A.
Iger
Iger is the surname of Bob Iger, the longtime CEO and influential leader of The Walt Disney Company.
-
B.
Val Ferret
Val Ferret is a scenic alpine valley near Courmayeur in the Italian Alps, renowned for its hiking, skiing, and panoramic views of the Mont Blanc massif.
-
C.
Yann
Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
-
D.
Rothbart
Rothbart is the dark sorcerer and primary antagonist in the ballet "Swan Lake," responsible for cursing Odette and driving the central conflict of the story.
-
E.
Griffin
The Griffin is the mythical creature that serves as the official mascot and symbol of Reed College.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99d0b1c8190bf0a94fa07919d21 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf637be4819096874a24e87f84ab |
completed | March 9, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69aec7698e9881909c75137cb5cf2a0c |
completed | March 9, 2026, 1:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec87df0648190b8099b4eaa3d9b22 |
completed | March 9, 2026, 1:17 p.m. |
Created at: March 6, 2026, 9:42 p.m.