Triple
T32510305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinness World Record for Most Recognizable Female Video Game Character |
E830912
|
entity |
| Predicate | titleHolderIsFictionalCharacter |
P41897
|
FINISHED |
| Object | Lara Croft |
—
|
NE NERFINISHED |
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: Lara Croft | Statement: [Guinness World Record for Most Recognizable Female Video Game Character, titleHolderIsFictionalCharacter, Lara Croft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderIsFictionalCharacter Context triple: [Guinness World Record for Most Recognizable Female Video Game Character, titleHolderIsFictionalCharacter, Lara Croft]
-
A.
isFictionalCharacter
Indicates that the subject is a character that exists only in fiction rather than in real life.
-
B.
isFictionalPersonFrom
Indicates that a fictional person originates from or is associated with a particular place or source.
-
C.
isFictionalBearer
Indicates that an entity serves as the (typically named) holder or possessor of something within a fictional or imaginary context.
-
D.
isFictionalCharacterHost
Indicates that one entity serves as the host or presenter in a context involving a fictional character.
-
E.
titleHolderIs
chosen
Indicates that one entity currently holds or possesses a specific title associated with another entity.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: May 1, 2026, 1 a.m.