Triple
T17166722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantera |
E416628
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object |
Matt L’Amour
Matt L’Amour is a musician best known for having been an early member of the heavy metal band Pantera.
|
E1253768
|
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: Matt L’Amour | Statement: [Pantera, formerMember, Matt L’Amour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt L’Amour Context triple: [Pantera, formerMember, Matt L’Amour]
-
A.
Lucas Lavoie
Lucas Lavoie is an actor known for playing Gage Creed in the 2019 film adaptation of Stephen King’s horror novel "Pet Sematary."
-
B.
Preston D'Ambrosio
Preston D'Ambrosio is a fictional character appearing in the film "In Too Deep."
-
C.
Sam Bouchard
Sam Bouchard is a character in the film "Body Double," involved in its suspenseful, voyeuristic thriller plot.
-
D.
Adam Gaudette
Adam Gaudette is an American professional ice hockey forward known for his standout collegiate career at Northeastern University and subsequent play in the NHL.
-
E.
Jay Monahan
Jay Monahan was an American attorney and legal analyst best known as the late husband of television journalist Katie Couric.
- 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: Matt L’Amour Triple: [Pantera, formerMember, Matt L’Amour]
Generated description
Matt L’Amour is a musician best known for having been an early member of the heavy metal band Pantera.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt L’Amour Target entity description: Matt L’Amour is a musician best known for having been an early member of the heavy metal band Pantera.
-
A.
Lucas Lavoie
Lucas Lavoie is an actor known for playing Gage Creed in the 2019 film adaptation of Stephen King’s horror novel "Pet Sematary."
-
B.
Preston D'Ambrosio
Preston D'Ambrosio is a fictional character appearing in the film "In Too Deep."
-
C.
Sam Bouchard
Sam Bouchard is a character in the film "Body Double," involved in its suspenseful, voyeuristic thriller plot.
-
D.
Adam Gaudette
Adam Gaudette is an American professional ice hockey forward known for his standout collegiate career at Northeastern University and subsequent play in the NHL.
-
E.
Jay Monahan
Jay Monahan was an American attorney and legal analyst best known as the late husband of television journalist Katie Couric.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483d754c819089607cfc87d08d42 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014964b0d88190a37fa6be0c837630 |
completed | May 11, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014a20bb2c8190bbae3009783efc00 |
completed | May 11, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:37 a.m.