Triple
T21561387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zane Grey |
E532042
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Pearl
Pearl is the given first name of the American author better known by his pen name Zane Grey, famed for his popular Western novels.
|
E1490929
|
NE FINISHED |
How this triple was built (4 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: Pearl | Statement: [Zane Grey, givenName, Pearl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearl Context triple: [Zane Grey, givenName, Pearl]
-
A.
Pearl
"Pearl" is a Middle English alliterative poem, often attributed to the anonymous "Pearl Poet," renowned for its intricate structure and spiritual meditation on loss and salvation.
-
B.
Pearl
Pearl is the enigmatic and spirited daughter of Hester Prynne in Nathaniel Hawthorne’s novel *The Scarlet Letter*, symbolizing both sin and redemption.
-
C.
Pearl
"Pearl" is a lesser-known work by screenwriter Stirling Silliphant, likely a film or television script reflecting his characteristic dramatic storytelling.
-
D.
Pearl
Pearl is the nickname of Dwayne "Pearl" Washington, a celebrated American basketball player known for his flashy ball-handling and standout college career at Syracuse University.
-
E.
Pearl
Pearl is a British actress best known for playing Bill Potts, a companion of the Doctor, in the long-running television series "Doctor Who."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pearl Triple: [Zane Grey, givenName, Pearl]
Generated description
Pearl is the given first name of the American author better known by his pen name Zane Grey, famed for his popular Western novels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pearl Target entity description: Pearl is the given first name of the American author better known by his pen name Zane Grey, famed for his popular Western novels.
-
A.
Pearl
Pearl is a given name commonly used for women, derived from the precious gemstone and often associated with elegance and rarity.
-
B.
Pearl
Pearl is a common English surname borne by various notable individuals across fields such as science, entertainment, and politics.
-
C.
Pearl
Pearl is the enigmatic and spirited daughter of Hester Prynne in Nathaniel Hawthorne’s novel *The Scarlet Letter*, symbolizing both sin and redemption.
-
D.
Pearl
Pearl is the nickname of Dwayne "Pearl" Washington, a celebrated American basketball player known for his flashy ball-handling and standout college career at Syracuse University.
-
E.
Pearl
Pearl is a former name of a transit station now known as Pearl station.
- F. None of above. chosen
Provenance (5 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e3e2348190b5c3b66cdc871e6e |
completed | April 27, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eeeb5c6081908267b5825acddad5 |
completed | May 17, 2026, 4:38 p.m. |
| NEDg | Description generation | batch_6a09f3334a088190b16c3715c786f4e2 |
completed | May 17, 2026, 4:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f40c04a48190b60c80f44759b295 |
completed | May 17, 2026, 4:59 p.m. |
Created at: April 16, 2026, 6:29 p.m.