Triple
T4648877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philoctetes (Sophocles) |
E102239
|
entity |
| Predicate | characterTypeOfPhiloctetes |
P21469
|
FINISHED |
| Object | wounded archer |
—
|
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: wounded archer | Statement: [Philoctetes (Sophocles), characterTypeOfPhiloctetes, wounded archer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterTypeOfPhiloctetes Context triple: [Philoctetes (Sophocles), characterTypeOfPhiloctetes, wounded archer]
-
A.
typeOfGreek
Indicates that one entity is a specific kind or category of Greek associated with the other entity.
-
B.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
C.
depictsCharacterType
Indicates that one entity visually represents or portrays a character of a specified type or role.
-
D.
protagonistCharacteristic
chosen
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
E.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.