Triple
T26533818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pink (2016 film) |
E670886
|
entity |
| Predicate | Deepak SehgalIs |
P160616
|
FINISHED |
| Object | lawyer |
—
|
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: lawyer | Statement: [Pink (2016 film), Deepak SehgalIs, lawyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Deepak SehgalIs Context triple: [Pink (2016 film), Deepak SehgalIs, lawyer]
-
A.
Sanjay Manjrekar
Indicates a relationship or action involving Sanjay Manjrekar, such as participation in, association with, or attribution to this individual.
-
B.
सौतेला भाई
Indicates a relationship where one male is another person's stepbrother, typically due to a parent’s remarriage rather than a shared biological parent.
-
C.
associatedRishi
Indicates a relationship where a given entity is linked or connected to a particular rishi (sage), typically as being attributed to, guided by, or traditionally related to that rishi.
-
D.
sonWithSurya
Indicates a parent-child relationship where the entity is a son in relation to Surya.
-
E.
Perlmutter
Indicates a relationship or action associated with the name "Perlmutter," such as authorship, attribution, or involvement, depending on the specific ontology or dataset in which it appears.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613fa4c4081908e56f5297f15506a |
completed | May 2, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 1:37 a.m.