Triple
T4067109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston Colt .45s |
E86349
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Turk Farrell
Turk Farrell was an American Major League Baseball pitcher known for his effective relief work and All-Star performances during the 1950s and 1960s.
|
E414699
|
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: Turk Farrell | Statement: [Houston Colt .45s, notablePlayer, Turk Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turk Farrell Context triple: [Houston Colt .45s, notablePlayer, Turk Farrell]
-
A.
Rocky Carroll
Rocky Carroll is an American actor best known for his role as Director Leon Vance on the long-running television series NCIS.
-
B.
Bill Vinovich
Bill Vinovich is an American NFL official best known for serving as the head referee in multiple Super Bowls, including Super Bowl XLIX.
-
C.
Darryl Moore
Darryl Moore is a writer best known for his work on the Christina Aguilera song "Dirrty."
-
D.
Gene Keady
Gene Keady is a highly respected American college basketball coach best known for his long, successful tenure leading the Purdue Boilermakers.
-
E.
Tommy Farrell
Tommy Farrell is a relative of Irish actor Colin Farrell, known primarily in connection with the acclaimed film star's family.
- 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: Turk Farrell Triple: [Houston Colt .45s, notablePlayer, Turk Farrell]
Generated description
Turk Farrell was an American Major League Baseball pitcher known for his effective relief work and All-Star performances during the 1950s and 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turk Farrell Target entity description: Turk Farrell was an American Major League Baseball pitcher known for his effective relief work and All-Star performances during the 1950s and 1960s.
-
A.
Rocky Carroll
Rocky Carroll is an American actor best known for his role as Director Leon Vance on the long-running television series NCIS.
-
B.
Bill Vinovich
Bill Vinovich is an American NFL official best known for serving as the head referee in multiple Super Bowls, including Super Bowl XLIX.
-
C.
Darryl Moore
Darryl Moore is a writer best known for his work on the Christina Aguilera song "Dirrty."
-
D.
Gene Keady
Gene Keady is a highly respected American college basketball coach best known for his long, successful tenure leading the Purdue Boilermakers.
-
E.
Tommy Farrell
Tommy Farrell is a relative of Irish actor Colin Farrell, known primarily in connection with the acclaimed film star's family.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf73a1c81909f1741f4ecf55f98 |
completed | March 9, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57698f5a48190991526fb26d451fb |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577c2b784819096d8218dd1c1478d |
completed | March 14, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5782cc448819080e306952da24ac0 |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:38 p.m.