Triple
T12087712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tybalt |
E287850
|
entity |
| Predicate | participatesInEvent |
P149
|
FINISHED |
| Object | street brawl in Act 1 Scene 1 |
—
|
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: street brawl in Act 1 Scene 1 | Statement: [Tybalt, participatesInEvent, street brawl in Act 1 Scene 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participatesInEvent Context triple: [Tybalt, participatesInEvent, street brawl in Act 1 Scene 1]
-
A.
participatedInEvent
chosen
Indicates that an entity took part in or was actively involved in a specific event.
-
B.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
C.
eventParticipant
Indicates that an entity takes part in, is involved in, or participates in a particular event.
-
D.
partOfEvent
Indicates that one entity is a component, segment, or sub-activity that belongs to or occurs within a larger event.
-
E.
invitesParticipationOf
Indicates that one entity actively requests or encourages another entity to take part in an activity, event, or process.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.