Triple
T14476673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eh Joe |
E358990
|
entity |
| Predicate | notableDirector |
P4744
|
FINISHED |
| Object |
Alan Gibson
Alan Gibson was a British film and television director known for his work on genre productions, including notable horror films and acclaimed TV dramas.
|
E1101767
|
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: Alan Gibson | Statement: [Eh Joe, notableDirector, Alan Gibson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Gibson Context triple: [Eh Joe, notableDirector, Alan Gibson]
-
A.
Michel Gibson
Michel Gibson is a local political figure who serves as the mayor of Kirkland, overseeing the city's municipal government and public affairs.
-
B.
Ken McMillan
Ken McMillan is a prominent computer scientist known for his influential work in formal verification and model checking.
-
C.
Mark Gibson
Mark Gibson is a screenwriter best known for co-writing the thriller film "The In Crowd."
-
D.
Graeme Gibson
Graeme Gibson was a Canadian novelist, environmentalist, and cultural advocate known for his contributions to Canadian literature and his long partnership with writer Margaret Atwood.
-
E.
Ian Goble
Ian Goble is a musician best known for his role as a member of the Canadian R&B/rock band The Mynah Birds.
- 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: Alan Gibson Triple: [Eh Joe, notableDirector, Alan Gibson]
Generated description
Alan Gibson was a British film and television director known for his work on genre productions, including notable horror films and acclaimed TV dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Gibson Target entity description: Alan Gibson was a British film and television director known for his work on genre productions, including notable horror films and acclaimed TV dramas.
-
A.
Michel Gibson
Michel Gibson is a local political figure who serves as the mayor of Kirkland, overseeing the city's municipal government and public affairs.
-
B.
Ken McMillan
Ken McMillan is a prominent computer scientist known for his influential work in formal verification and model checking.
-
C.
Mark Gibson
Mark Gibson is a screenwriter best known for co-writing the thriller film "The In Crowd."
-
D.
Graeme Gibson
Graeme Gibson was a Canadian novelist, environmentalist, and cultural advocate known for his contributions to Canadian literature and his long partnership with writer Margaret Atwood.
-
E.
Ian Goble
Ian Goble is a musician best known for his role as a member of the Canadian R&B/rock band The Mynah Birds.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9248edb48190a74eb032aeaac027 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a0553081909fd88d8f39ed1a01 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd698579588190a49f6c7a91266117 |
completed | May 8, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6a6060488190ab5662037b52c591 |
completed | May 8, 2026, 4:45 a.m. |
Created at: April 10, 2026, 1:20 a.m.