Triple
T4868593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Girl |
E109030
|
entity |
| Predicate | hasLiveFavoriteStatus |
P44964
|
FINISHED |
| Object | fan favorite at Tom Petty and the Heartbreakers concerts |
—
|
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: fan favorite at Tom Petty and the Heartbreakers concerts | Statement: [American Girl, hasLiveFavoriteStatus, fan favorite at Tom Petty and the Heartbreakers concerts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiveFavoriteStatus Context triple: [American Girl, hasLiveFavoriteStatus, fan favorite at Tom Petty and the Heartbreakers concerts]
-
A.
hasFriendship
Indicates a mutual, positive social relationship of friendship existing between two entities.
-
B.
hasLiveAlbum
Indicates that an artist or musical act has released at least one live album recording.
-
C.
hasPopularActivity
chosen
Indicates that an entity is associated with an activity that is widely favored, frequently engaged in, or well-liked by many people.
-
D.
hasUser
Indicates that an entity is associated with or linked to a specific user.
-
E.
listedStatus
Indicates that an entity has an official listing designation or status within a defined registry, catalog, or classification system.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7d809081909fc7c80c56f72840 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.