Triple
T11949693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Childe Roland to the Dark Tower Came |
E284394
|
entity |
| Predicate | titlePhraseAppearsIn |
P3254
|
FINISHED |
| Object | King Lear |
E72922
|
NE FINISHED |
How this triple was built (3 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: King Lear | Statement: [Childe Roland to the Dark Tower Came, titlePhraseAppearsIn, King Lear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Lear Context triple: [Childe Roland to the Dark Tower Came, titlePhraseAppearsIn, King Lear]
-
A.
King Lear
chosen
King Lear is a tragedy by William Shakespeare that portrays an aging monarch’s descent into madness after he divides his kingdom among his daughters, exploring themes of power, loyalty, and human suffering.
-
B.
Lear
Lear is a 1971 play by Edward Bond that radically reimagines Shakespeare’s King Lear as a brutal, politically charged critique of authoritarianism and violence.
-
C.
Lear
Lear is the surname of Norman Lear, the influential American television writer and producer known for creating groundbreaking sitcoms such as "All in the Family" and "The Jeffersons."
-
D.
Macbeth
Macbeth is a tragedy by William Shakespeare that follows a Scottish nobleman’s bloody rise to power after a prophecy and his own unchecked ambition drive him to murder and tyranny.
-
E.
The Last Lear
The Last Lear is a 2007 Indian English-language drama film directed by Rituparno Ghosh, featuring Amitabh Bachchan as an aging Shakespearean actor confronting his past and the nature of performance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlePhraseAppearsIn Context triple: [Childe Roland to the Dark Tower Came, titlePhraseAppearsIn, King Lear]
-
A.
titlePhrase
Indicates that one entity is a phrase functioning as the title or name of another entity.
-
B.
titlePattern
Indicates that there is a specific structural or textual pattern that the title of an entity is expected to follow.
-
C.
titleContainsPronoun
Indicates that the title of an entity includes at least one pronoun.
-
D.
titleThrough
Indicates a relationship where one entity holds or is identified by a specific title by means of, or via the mediation of, another entity or context.
-
E.
containsTitle
chosen
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
- F. None of above.
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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90346825c8190ab4482a1fc8eed56 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471ba7fd88190909596e6e01e8714 |
completed | May 1, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.