Triple
T29320423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muthu |
E743499
|
entity |
| Predicate | starBoostedInJapan |
P166837
|
FINISHED |
| Object | Rajinikanth |
—
|
NE NERFINISHED |
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: Rajinikanth | Statement: [Muthu, starBoostedInJapan, Rajinikanth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starBoostedInJapan Context triple: [Muthu, starBoostedInJapan, Rajinikanth]
-
A.
boosterType
Indicates the specific kind or category of booster associated with an entity or action.
-
B.
boosterName
Indicates the name or designation assigned to a booster component associated with an entity or event.
-
C.
usedWithBoosters
Indicates that something is employed or operated in conjunction with boosters to enhance its effect or performance.
-
D.
hasBoostMechanic
Indicates that one entity (typically a game or system) includes a mechanic that temporarily increases the power, speed, or effectiveness of another entity.
-
E.
typicalBoost
Indicates a standard or commonly expected increase in magnitude, intensity, or effectiveness associated with something.
- F. None of above. chosen
Provenance (4 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665efcf4081909f6bda56798318c6 |
completed | May 2, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 1:22 p.m.