Triple
T5163835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurley |
E116500
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Andrew Hurley
Andrew Hurley is best known as the drummer for the American rock band Fall Out Boy.
|
E524386
|
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: Andrew Hurley | Statement: [Hurley, hasNotableBearer, Andrew Hurley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Hurley Context triple: [Hurley, hasNotableBearer, Andrew Hurley]
-
A.
Michael Byrne
Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
-
B.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
C.
Michael Dougherty
Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
-
D.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
-
E.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
- 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: Andrew Hurley Triple: [Hurley, hasNotableBearer, Andrew Hurley]
Generated description
Andrew Hurley is best known as the drummer for the American rock band Fall Out Boy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Hurley Target entity description: Andrew Hurley is best known as the drummer for the American rock band Fall Out Boy.
-
A.
Michael Byrne
Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
-
B.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
C.
Michael Dougherty
Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
-
D.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
-
E.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7927a348819082ad531955cdf30d |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70c59678819097aed5af25f36b66 |
completed | March 22, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69bf721b227081909d3d87917b13ec5c |
completed | March 22, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf7262f3688190a25efd5c6b480488 |
completed | March 22, 2026, 4:38 a.m. |
Created at: March 20, 2026, 1:44 p.m.