Triple
T32142436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lombardi (Broadway play) |
E820940
|
entity |
| Predicate | roleOfDanLauria |
P180167
|
FINISHED |
| Object | Vince Lombardi |
—
|
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: Vince Lombardi | Statement: [Lombardi (Broadway play), roleOfDanLauria, Vince Lombardi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfDanLauria Context triple: [Lombardi (Broadway play), roleOfDanLauria, Vince Lombardi]
-
A.
roleOfDanielDines
Indicates that the specified role or position is held by Daniel Dines in relation to another entity or context.
-
B.
roleOfFrankLorenzo
Indicates that a specified role, position, or function is held or performed by Frank Lorenzo.
-
C.
roleOfBrian Venable
Indicates that the specified role or position is held or performed by Brian Venable.
-
D.
Vance Law
Indicates a relationship or action involving the person named Vance Law, such as participation in an event, authorship, or association with another entity.
-
E.
roleOfPeter Seligmann
Indicates that the specified role or position is held by Peter Seligmann.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f73221eef88190bd8905e6e9f5a586 |
completed | May 3, 2026, 11:31 a.m. |
Created at: May 1, 2026, 12:31 a.m.