Triple
T27350460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1991 NBA Finals |
E684344
|
entity |
| Predicate | refereeCrewChief |
P108040
|
FINISHED |
| Object |
Dick Bavetta
Dick Bavetta is a longtime NBA referee renowned for his extraordinary longevity and record-setting number of games officiated in the league.
|
E1767159
|
NE FINISHED |
How this triple was built (3 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: Dick Bavetta | Statement: [1991 NBA Finals, refereeCrewChief, Dick Bavetta]
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: Dick Bavetta Triple: [1991 NBA Finals, refereeCrewChief, Dick Bavetta]
Generated description
Dick Bavetta is a longtime NBA referee renowned for his extraordinary longevity and record-setting number of games officiated in the league.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refereeCrewChief Context triple: [1991 NBA Finals, refereeCrewChief, Dick Bavetta]
-
A.
umpireCrewChief
Indicates that one entity serves as the crew chief (lead umpire) for a particular umpire crew.
-
B.
hasCrewChief
Indicates that an entity is associated with a specific crew chief who is responsible for leading or supervising its crew.
-
C.
hasOfficiatingCrew
Indicates that an event, typically a sports game or formal proceeding, is assigned a specific group of officials responsible for overseeing and enforcing its rules.
-
D.
leagueOfUmpireCrewChief
Indicates that a given umpire crew chief is associated with, or works within, a particular sports league.
-
E.
crewChief
chosen
Indicates that one person serves as the lead or supervising crew chief responsible for directing and managing another person or group in an operational context.
- F. None of above.
Provenance (6 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a129ccd6fc08190adb59b21555f7029 |
completed | May 24, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a129da51ce08190b85045a3d378c25f |
completed | May 24, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a129e3138ac8190acdda9aff6f9fc88 |
completed | May 24, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 11:48 a.m.