Triple
T29701454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Pierce |
E751495
|
entity |
| Predicate | relativeCharacterPortrayed |
P203544
|
FINISHED |
| Object | Niles Crane |
E178296
|
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: Niles Crane | Statement: [Barbara Pierce, relativeCharacterPortrayed, Niles Crane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeCharacterPortrayed Context triple: [Barbara Pierce, relativeCharacterPortrayed, Niles Crane]
-
A.
characterPortrayedIs
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
-
B.
friendPortrayedBy
Indicates that a person’s friend is depicted or represented by a particular actor or performer.
-
C.
directorPortraysCharacter
Indicates that a film director personally appears in a work portraying a specific character.
-
D.
portrayedByCharacterType
Indicates that an entity is depicted or represented by a character of a specified type (e.g., hero, villain, sidekick) in a narrative or media work.
-
E.
sonCharacterPortrayedBy
Indicates that a person is the actor who portrays a specific son character in a work of fiction.
- F. None of above. chosen
Provenance (5 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a01a0b63d148190b10206509c0a0a5b |
completed | May 11, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a267ed2662081909896d92e22acd52d |
completed | June 8, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_6a01a0245d4c8190a3c3fbbe83f0389d |
completed | May 11, 2026, 9:23 a.m. |
| PDg | Predicate description generation | batch_6a01a0b5660c8190be66ff20bec1dd5c |
completed | May 11, 2026, 9:26 a.m. |
Created at: April 28, 2026, 7:24 p.m.