Triple
T15059438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flood |
E379585
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tim Flood
Tim Flood is a former Irish hurler who played as a forward for the Wexford senior team.
|
E1135896
|
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: Tim Flood | Statement: [Flood, hasNotableBearer, Tim Flood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Flood Context triple: [Flood, hasNotableBearer, Tim Flood]
-
A.
John Farris
John Farris is an American novelist and screenwriter best known for his horror and suspense fiction, including the novel that inspired Brian De Palma’s film "The Fury."
-
B.
Frank Reynolds
Frank Reynolds is a scheming, morally bankrupt businessman and the depraved, chaos-loving father figure of the gang in the sitcom "It's Always Sunny in Philadelphia."
-
C.
Frank Reynolds
Frank Reynolds is a film editor best known for his work on acclaimed movies such as "In the Bedroom."
-
D.
Richard Falley
Richard Falley was an American colonial-era figure, likely a Revolutionary War officer or local leader, after whom U.S. President Grover Cleveland’s father, Richard Falley Cleveland, was named.
-
E.
John Fossitt
John Fossitt is a musician best known as a member of the band The Hooligans.
- 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: Tim Flood Triple: [Flood, hasNotableBearer, Tim Flood]
Generated description
Tim Flood is a former Irish hurler who played as a forward for the Wexford senior team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Flood Target entity description: Tim Flood is a former Irish hurler who played as a forward for the Wexford senior team.
-
A.
John Farris
John Farris is an American novelist and screenwriter best known for his horror and suspense fiction, including the novel that inspired Brian De Palma’s film "The Fury."
-
B.
Frank Reynolds
Frank Reynolds is a scheming, morally bankrupt businessman and the depraved, chaos-loving father figure of the gang in the sitcom "It's Always Sunny in Philadelphia."
-
C.
Frank Reynolds
Frank Reynolds is a film editor best known for his work on acclaimed movies such as "In the Bedroom."
-
D.
Richard Falley
Richard Falley was an American colonial-era figure, likely a Revolutionary War officer or local leader, after whom U.S. President Grover Cleveland’s father, Richard Falley Cleveland, was named.
-
E.
John Fossitt
John Fossitt is a musician best known as a member of the band The Hooligans.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c2fcec8190800d1bda82c7352e |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea9c0ad748190989920efe418001c |
completed | May 9, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feaa2fbafc8190b592d89b07b49765 |
completed | May 9, 2026, 3:29 a.m. |
Created at: April 10, 2026, 3:01 a.m.