Triple
T8267295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesley Stahl |
E193332
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stahl |
E330529
|
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: Stahl | Statement: [Lesley Stahl, familyName, Stahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stahl Context triple: [Lesley Stahl, familyName, Stahl]
-
A.
Stahl
chosen
Stahl is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
B.
Steelman
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
-
C.
Steeg
Steeg is a small alpine village in the Austrian state of Tyrol, known for its scenic location in the upper Lech Valley near the Arlberg region.
-
D.
The Iron
The Iron is the nickname of Scunthorpe United F.C., an English professional football club traditionally associated with the town’s steel industry.
-
E.
The Iron
The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6833065c8190945e88022ad2869d |
completed | April 1, 2026, 6:47 p.m. |
Created at: March 30, 2026, 5:50 p.m.