Triple
T7144020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leila Khaled |
E166518
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Leila |
E110174
|
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: Leila | Statement: [Leila Khaled, givenName, Leila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leila Context triple: [Leila Khaled, givenName, Leila]
-
A.
Leila
chosen
Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
-
B.
Leyla
"Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
-
C.
Dalila
Dalila is a biblical figure, often depicted as a Philistine woman who betrays Samson by discovering and revealing the secret of his strength.
-
D.
Zeina
Zeina is a feminine given name commonly used in Arabic-speaking and Middle Eastern cultures, often associated with beauty and grace.
-
E.
Soraya
Soraya was an Iranian-German actress and former Queen consort of Iran as the second wife of Shah Mohammad Reza Pahlavi.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d027d0819088598b2a9f71b1b7 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad9c9f508190b36ff96b586a7726 |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:46 p.m.