Triple
T22074406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilip Vengsarkar |
E545486
|
entity |
| Predicate | wasCaptainUntil |
P99663
|
FINISHED |
| Object | 1989 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1989 | Statement: [Dilip Vengsarkar, wasCaptainUntil, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasCaptainUntil Context triple: [Dilip Vengsarkar, wasCaptainUntil, 1989]
-
A.
formerCaptain
Indicates that an entity once held the role or position of captain but no longer does.
-
B.
servedAsCaptainFrom
Indicates that an entity held the role of captain of another entity starting from a specified point in time.
-
C.
formerViceCaptainOf
Indicates that one entity previously held the position of vice captain of another entity (such as a team, group, or organization), but no longer does.
-
D.
laterCaptain
Indicates that one entity becomes the captain of something at a later time than another referenced captain or captaincy.
-
E.
yearsAsCaptainEnd
chosen
Indicates the point in time or year when an entity’s tenure or period of serving as captain ends.
- F. None of above.
Provenance (3 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288affb081908b64742f7bf467fa |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.