Triple
T7324792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calydonian Boar Hunt |
E168843
|
entity |
| Predicate | hasParticipant |
P149
|
FINISHED |
| Object | Phoenix |
E526045
|
NE 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: Phoenix | Statement: [Calydonian Boar Hunt, hasParticipant, Phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phoenix Context triple: [Calydonian Boar Hunt, hasParticipant, Phoenix]
-
A.
Phoenix
Phoenix is a British publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Orion Publishing Group.
-
B.
Phoenix
Phoenix is a prominent American acting family name most famously associated with Oscar-winning actor Joaquin Phoenix.
-
C.
Phoenix
Phoenix is a social and dining club at Harvard University known for its exclusive membership and long-standing traditions.
-
D.
Phoenix
chosen
Phoenix is a figure in Greek mythology, often depicted as a son of Agenor and associated with the legendary founding of Phoenicia.
-
E.
Phoenix
Phoenix is a themed amusement park attraction likely centered on a fiery, reborn-from-the-ashes motif inspired by the mythical bird.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f04993408190b73fb46d83a632d5 |
completed | March 27, 2026, 9:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9251db3388190b8b0ac7549647887 |
completed | March 29, 2026, 1:11 p.m. |
Created at: March 27, 2026, 3:03 p.m.