Triple
T29322529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obi-Wan Kenobi vs. Darth Vader duel |
E743550
|
entity |
| Predicate | resultForLuke |
P180329
|
FINISHED |
| Object | witnesses mentor’s death |
—
|
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: witnesses mentor’s death | Statement: [Obi-Wan Kenobi vs. Darth Vader duel, resultForLuke, witnesses mentor’s death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultForLuke Context triple: [Obi-Wan Kenobi vs. Darth Vader duel, resultForLuke, witnesses mentor’s death]
-
A.
result
Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
-
B.
knownResult
Indicates that the outcome or consequence of an action, process, or event is already determined and available.
-
C.
resultDetermination
Indicates the process or criteria by which an outcome, decision, or result is established or concluded from given inputs or conditions.
-
D.
resultForFriedrichFlick
Indicates the outcome or decision rendered in relation to Friedrich Flick, such as a verdict, ruling, or final result concerning him.
-
E.
resultForAudience
Indicates that something is produced or presented specifically to achieve an effect or outcome for a particular audience.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 28, 2026, 1:24 p.m.