Triple
T4808920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gala Brand |
E107016
|
entity |
| Predicate | romanticOutcomeWithJamesBond |
P60256
|
FINISHED |
| Object | doesNotEndUpWithBond |
—
|
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: doesNotEndUpWithBond | Statement: [Gala Brand, romanticOutcomeWithJamesBond, doesNotEndUpWithBond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romanticOutcomeWithJamesBond Context triple: [Gala Brand, romanticOutcomeWithJamesBond, doesNotEndUpWithBond]
-
A.
hasRomanticTensionWith
Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
-
B.
successorAsJamesBond
Indicates that one entity took over the role of portraying James Bond from another entity.
-
C.
romanticArc
Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
-
D.
romanceObstructedBy
Indicates that a romantic relationship or potential romance is being hindered, blocked, or prevented by some opposing factor or circumstance.
-
E.
romanticReputation
Indicates how an entity is perceived or regarded by others in the context of romantic behavior, history, or involvement.
- F. None of above. chosen
Provenance (4 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:23 p.m.