Triple
T2694147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loew's Inc. |
E58471
|
entity |
| Predicate | antitrustIssue |
P29037
|
FINISHED |
| Object | vertical integration of production, distribution, and exhibition |
—
|
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: vertical integration of production, distribution, and exhibition | Statement: [Loew's Inc., antitrustIssue, vertical integration of production, distribution, and exhibition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antitrustIssue Context triple: [Loew's Inc., antitrustIssue, vertical integration of production, distribution, and exhibition]
-
A.
regulatoryIssues
Indicates that there are regulatory concerns, non-compliance, or potential violations associated with the related entity or activity.
-
B.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
C.
issuesPolicyOn
Indicates that an authority or organization formally creates, approves, or enacts a policy concerning a particular subject or domain.
-
D.
economicSectorIssue
Indicates that there is a problem, challenge, or concern affecting a particular economic sector.
-
E.
involvesIssue
chosen
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0f43b08190a5abd936b14603b7 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.