Triple
T7523115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Iger |
E177821
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Iger |
E174163
|
NE 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: Iger | Statement: [Max Iger, familyName, Iger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iger Context triple: [Max Iger, familyName, Iger]
-
A.
Iger
chosen
Iger is the surname of Bob Iger, the longtime CEO and influential leader of The Walt Disney Company.
-
B.
Giroux
Giroux is a French-origin surname borne by various notable individuals, including athletes, academics, and artists.
-
C.
Lleó
Lleó is a Spanish-language surname of Catalan origin borne by various individuals, including Cuban jurist and former president Manuel Urrutia Lleó.
-
D.
Gale
Gale is a given name used for both males and females, historically associated with meanings related to strong winds or joviality.
-
E.
Letta
Letta is an Italian surname most prominently associated with political figures such as Gianni Letta and former Prime Minister Enrico Letta.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c4f32081908b5162f4551adb6d |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8462d743481909a3cfb6d31d94d98 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.